A Simulation-Based Multi-Objective Optimisation Framework for Healthier UK Housing University of Southampton in United Kingdom

This PhD project at the University of Southampton, supervised by Dr Masoud Sajjadian, Professor Patrick James, and Dr Stephanie Gauthier, focuses on developing a simulation-based, multi-objective optimisation framework to create healthier UK housing. The research aims to leverage simulation approaches and experimental modelling to optimise building performance, specifically targeting user health, comfort, and environmental sustainability. A key goal is to establish reliable validation methods and enhance the role of computational building physics in robust architectural design for housing.

The project will systematically investigate how various housing design parameters influence key indicators of user health and comfort, using advanced building performance simulations. It will also pioneer new research into the use of comfort standards in simulations, broadening their application and impact. Data-driven methods in architectural design will be explored, with the intention of producing practical guidelines and a decision-support framework for designers and policymakers to foster healthier and more sustainable buildings.

As a doctoral researcher, you will gain expertise in integrating simulation tools, optimisation algorithms, and multi-objective decision-making techniques into a unified framework. This will enable the evaluation and comparison of alternative building design scenarios at early design stages. The project will culminate in a comprehensive set of design guides, supported by simulation and experimental evidence, to inform best practices in healthy and sustainable housing design.

Applicants should hold a UK 2:1 honours degree or its international equivalent in architecture or architectural engineering. The University of Southampton offers a range of funding opportunities for both UK and international students, including Horizon Europe fee waivers (covering the difference between overseas and UK fees for qualifying students), competition-based Presidential Bursaries, and studentships that may cover tuition fees and a stipend for living costs. Funding is awarded on a rolling basis, so early application is encouraged.

To apply, select the PhD Engineering & the Environment (7175) programme for 2026/27 in the Faculty of Engineering and Physical Sciences, choose full-time or part-time study, and include the supervisor's name in section 2 of the application. Required documents include a CV, two academic references, degree transcripts and certificates, and proof of English language proficiency if applicable. For further information or an initial conversation, contact Dr Masoud Sajjadian at [email protected].

The School of Engineering is committed to equality, diversity, and inclusivity, and welcomes applicants from all backgrounds. The University provides generous maternity policies, onsite childcare, and a range of benefits to support well-being and work-life balance. The institution is also recognized for its commitment to sustainability, holding the Platinum EcoAward.